|
|
|
|
|
Wenqi Cheng and Baigang Mi
A new high-efficiency method based on a particle swarm optimization and long short-term memory network is proposed in this study to predict the aerodynamic forces in an unsteady state. Based on the predicted aerodynamic forces, the dynamic derivative is ...
ver más
|
|
|
|
|
|
|
|
|
José D. Hoyos, Camilo Echavarría, Juan P. Alvarado, Gustavo Suárez, Juliana A. Niño and Jorge I. García
An aero-structural algorithm to optimize a flying wing in cruise conditions for preliminary design is developed using two-way interaction between the structure and aerodynamics. A particle swarm routine is employed to solve the multi-objective optimizati...
ver más
|
|
|
|
|
|
|
|
|
Zezhi Deng, Xiangshan Chen, Wei Jin and Gang Wang
Internal erosion refers to the seepage-induced fine particle migration phenomenon in soil. Deep alluviums in valleys usually contain cohesionless gap-graded sandy gravels with poor internal stability. The construction of embankment dams on such alluviums...
ver más
|
|
|
|
|
|
|
|
|
Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
ver más
|
|
|
|
|
|
|
|
|
Eduardo M. Costa, Sara Silva and Manuela Pintado
Ionic gelation is among the simplest processes for the development of chitosan nanoparticles reported so far in the literature. Its one-shot synthesis process in conjunction with the mild reaction conditions required are among the main causes for its suc...
ver más
|
|
|
|